Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.
Deep learning models
Deep learning models are files that data scientists train to perform tasks with minimal human intervention. Deep learning models include predefined sets of steps (algorithms) that tell the file how to treat certain data. This training method enables deep learning models to recognize more complicated patterns in text, images, or sounds.
Examples of deep learning
Deep learning is a subset of machine learning that is made up of a neural network with three or more layers. A neural network attempts to model the human brain's behavior by learning from large data sets. Deep learning drives many AI applications that improve the way systems and tools deliver services, such as voice-enabled technology and credit card fraud detection.
Self-driving cars
Autonomous vehicles are already on our roadways. Deep learning algorithms help determine whether there are other cars, debris, or humans around and react accordingly.
Chatbots
Deep learning chatbots designed to mimic human intelligence (like Chat-GPT) have gained recent popularity due to their ability to respond to natural-language questions quickly and often accurately. The deeper the data pool from which deep learning occurs, the more rapidly deep learning can produce the desired results.
Facial recognition
Facial recognition plays an essential role in everything from tagging people on social media to crucial security measures. Deep learning allows algorithms to function accurately despite cosmetic changes such as hairstyles, beards, or poor lighting.
Medical science
The human genome consists of approximately three billion DNA base pairs of chromosomes. Machine learning is helping scientists and other medical professionals to create personalized medicines, and diagnose tumors, and is undergoing research and utilization for other pharmaceutical and medical purposes.
Speech recognition
Similar to facial recognition, deep learning uses millions of audio clips to learn and recognize speech. It can then power algorithms to understand what someone said and differentiate different tones, as well as detect a specific person's voice.
About Mario Sanchez
Mario is a Staff Engineer specialising in Frontend at Vercel, as well as being a co-founder of Acme and the content management system Sanity. Prior to this, he was a Senior Engineer at Apple.